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CNN-LSTM architecture for predicting hazardous driving situations
(2023-10-05)
This study aims to investigate how a CNN-LSTM model can be used together with recorded vehicle data from trucks and external weather data in order to predict a hazardous driving situation. The dataset consists of ...
Challenges in Specifying Safety-Critical Systems with AI-Components
(2023-09-26)
Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the ...
Machine learning for molecular property prediction and drug safety
(2023-10-23)
Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction ...